ArticleRisk management and healthcare policy2026
Patient Risk Identification Ability Among Newly Graduated Nurses: A Mixed-Methods Study.
Article in Risk management and healthcare policy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Risk identification is a primary step in implementing medical risk management. Given the limited research on the patient risk identification ability of newly graduated nurses, this study aims to explore their current capacity for identifying patient risks and the associated influencing factors. Participants and Methods: A convergent parallel mixed-methods design was employed. Quantitative data were collected via an online cross-sectional survey from 212 newly graduated nurses using the self-assessment questionnaire on patient risk identification ability. Qualitative data were obtained through semi-structured interviews with 11 participants. Results: Participants scored 73.32 ± 9.20 in patient risk identification. Dimension scores were highest for risk perception (3.96 ± 0.51), followed by risk analysis ability (3.47 ± 0.50) and risk knowledge mastery (3.22 ± 0.54). The regression model revealed that length of employment (β = 7.475, 95% CI [6.551, 8.398]), employment type (permanent: Conclusion: The risk identification ability of newly graduated nurses requires considerable improvement, particularly in mastering risk-related knowledge and analyzing risks in complex clinical situations. This ability is influenced by personal knowledge and experience, professional values, clinical workload, patient safety education, and organizational support.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.